Zobrazeno 1 - 3
of 3
pro vyhledávání: '"David Svitov"'
Autor:
Sergey Alyamkin, David Svitov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 57:18-26
Convolutional neural networks allow obtaining the highest accuracy values of object detection on images. However, detectors are often not protected against false-positive detections. In several applied problems, only detection of moving objects is of
Autor:
Deeptanshu Malik, David Svitov, Denis Repin, Xin Liu, Hong Hanh Nguyen, Xuyang Guo, Jaeyoun Kim, Xiao Hu, Jun-Hyeok Lee, Alexander Kondratyev, Xiaopeng Zhang, Shaojie Zhuo, Andrew Howard, Sergei Alyamkin, Bo Fu, Yi Chen, Chen Feng, Alexander C. Berg, Eunbyung Park, Tao Sheng, Zhiyu Liang, George K. Thiruvathukal, Zichen Fan, Bo Chen, Jingchi Zhang, Baiwu Zhang, Fei Sun, Kent Gauen, Seungjae Lee, Yuanjun Huang, Matthew Ardi, Abhinav Goel, Hsin-Pai Cheng, Suwoong Lee, Achille Brighton, Yang Lu, Zichao Li, Dong-Hyun Kang, Jong-Gook Ko, Yung-Hsiang Lu, Soonhoi Ha, Alexander Goncharenko, Liang Shen, Juzheng Liu
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9:411-421
Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisi
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 53:159-164
A new approach is proposed for detection of suspicious objects in X-ray images for security assurance. The approach is based on using the statistical model of the image for detecting anomalies. The model is designed with the use of the “bag-of-word